#A.R.

[leestershay]

i love you

i hate you. not really, but there is no hope for us anymore. i know i said that before...but now i mean it. lol. this is drunk me talking so you know it’s coming from the heart. you hurt me. i opened up to you and you took it and ran with it. idk if your feelings were genuine. but mine are. they are intense just like me. its been a month since we’ve talked and i can confidently say that i’ll cut you off. there’s no doubt that you’re a great girl...that’s why i love you. but...you have your boyfriend and i never knew how comfortable you were with your boyfriend until i heard what he did...and you still stayed. call it ignorance, call it what you want, but that’s not how a man should treat the love of his life. i hope you realize that or at least find some peace in it because you deserve it even though it rips me apart every day that you don’t put yourself first. this month of not talking has made me realize that i’m a fucking mess whenever i see you or think about you. all because i have deep, strong, intense feelings for you. believe me, don’t believe me, i don’t care. you are your own woman with your own life and decisions. you said you weren’t willing to let go of what you have for me...and that hurt. because realistically, you don’t have much with him. sure “culture” and “native language” but i would’ve learnt both and i might not’ve been good at it but i would’ve learned and tried to have learned. all i’m saying is... i hope he makes you happy. not in your mom’s way of “oh he loves us so much” but in the way of “my soul is yours, my heart is yours. everything that i am and everything that i have is yours” and quite honestly, it should be the vice versa. that’s real love. we don’t own anything in this world. we live and we die. our feelings don’t matter to the universe but they matter to us. the least we can do is try to make our spouse, our soulmate, our partner for life believe that they’re our universe in all its glory..........i say all of this now because you won’t see me for a week. a full week. and i won’t see you. it’ll be tough.. at least for me lol but my brain says that seeing you less and less will help. my heart on the other hand craves you at every moment of the day. but i can’t listen to my heart when it comes to you now. because it’ll only hurt me more knowing that you are not being cherished in all your glory. so i’ll cut you off and this will be your only connection from me. idek if you still have my tumblr memorized or if you have made an account but i give you this gift and it’s for life. i gave you my heart. this version of my heart...until i learn to rebuild. because this life is not worth living if we are not thinking with our heart. take care.                                                    p.s. good luck on the LSAT! study hard & you’ll accomplish everything you dream of. (i know it’s in june, but this is the last you’ll hear from me so i’d might as well make it worth it)

[fronzennews]

Neuro-Symbolic AI Advancing Artificial General Intelligence Solutions

Neuro-symbolic AI is emerging as a key player in the race towards achieving Artificial General Intelligence (AGI). By fusing the capabilities of neural networks with symbolic reasoning, this innovative approach addresses existing limitations in traditional AI methodologies.

2. Understanding the Integration of Neural Networks and Symbolic AI

Neuro-symbolic AI crafts a synergistic connection between two dominant paradigms in AI: neural networks, which focus on deep learning and pattern recognition, and symbolic AI, which emphasizes structured reasoning through logic and rules. 2.1 The Role of Neural Networks Neural networks excel in identifying patterns across extensive datasets, learning to mimic complex behaviors, and enhancing predictive accuracy, which allows them to tackle a variety of applications from image recognition to natural language processing. 2.2 The Importance of Symbolic AI On the other hand, symbolic AI employs structured rules, logical constraints, and relational graphs to represent knowledge. This facet is crucial for tasks that require coherent reasoning and explanations, bridging the gap between diverse notions within AI applications.

3. Overcoming Current AI Weaknesses with Neuro-Symbolic AI

The integration of neuro-symbolic AI seeks to tackle significant challenges faced by contemporary AI systems, notably the lack of generalizability, transparency, and robustness. 3.1 Enhancing Generalizability One of the major pitfalls of current AI is the inability to generalize well in unfamiliar contexts. By incorporating symbolic knowledge, neuro-symbolic AI enhances adaptability, allowing models to better navigate new scenarios and reason effectively even with scarce data. 3.2 Promoting Transparency and Interpretability The lack of transparency is a rampant concern with traditional neural networks, often referred to as "black boxes." Neuro-symbolic AI, with its reliance on symbols and rules, renders the decision-making process more explicit, fostering trust and understanding among users. 3.3 Boosting Robustness Neuro-symbolic AI also fortifies the resilience of AI systems. By leveraging symbolic structures, it can reduce the incidence of hallucinations—erroneous outputs that sound plausible but lack factual accuracy—thereby enhancing the reliability of AI models.

4. Essential Capacities Required for AGI

For the realization of AGI, robust AI systems must demonstrate key attributes, including grounding in knowledge, the ability to learn and adapt, and alignment with human values. 4.1 Grounding in Real-World Knowledge Grounding involves understanding entities and concepts in a real-world context. neuro-symbolic AI achieves this by embedding symbolic knowledge within neural frameworks, ensuring that AI operates based on an informed comprehension of its surroundings. 4.2 Instructibility and Learning AGI systems ought to evolve in response to user feedback. Neuro-symbolic AI supports this by integrating user inputs into both its neural and symbolic components, allowing for continual learning and adaptation based on real-world interactions. 4.3 Alignment with Human Values Ensuring that AI systems align with societal expectations and principles is paramount. Neuro-symbolic AI utilizes symbolic reasoning to navigate ethical considerations, thereby training systems to make decisions that are congruent with human intentions and values.

5. Applications of Neuro-Symbolic AI Across Industries

Neuro-symbolic AI holds substantial promise across a variety of sectors, demonstrating its versatile capabilities and potential transformative impact. 5.1 Healthcare and Medicine The integration of neuro-symbolic AI can revolutionize medical diagnostics by bolstering accuracy and minimizing biases in decision-making processes. It promises a more nuanced understanding of patient data and medical histories. 5.2 Finance In the finance sector, neuro-symbolic AI facilitates better decision-making through transparency and reliability. It helps in complex financial modeling and risk assessments, making the outcomes more interpretable for analysts. 5.3 Criminal Justice Neuro-symbolic AI contributes to fairer and more robust judicial processes by enhancing the reliability of AI tools in legal settings, thereby mitigating biases and inaccuracies when analyzing criminal data. 5.4 Autonomous Systems In autonomous vehicles and cyber-physical systems, neuro-symbolic AI improves safety by enabling better object detection and decision-making capabilities, leading to more reliable navigation in complex environments.

6. Addressing Hallucinations and Data Requirements

Neuro-symbolic AI presents a solution to the common issue of hallucinations found in traditional neural networks, while also discussing the essential data requirements for the success of its symbolic components. 6.1 Mitigating Hallucinations By using knowledge graphs, neuro-symbolic AI can validate the outputs from neural networks. This capability reduces the risk of generating misleading information and ensures that responses are both contextually appropriate and factually accurate. 6.2 Understanding Data Requirements Although neuro-symbolic AI aims to reduce the amount of data needed for training, it still relies on high-quality, well-structured data for the symbolic components. The use of graph databases is pivotal in supporting this structured knowledge representation.

7. Recent Research and Development Trends in Neuro-Symbolic AI

The field of neuro-symbolic AI is experiencing rapid advancements, focusing on various critical aspects that enhance its capacity and applicability. 7.1 Knowledge Representation Innovations Researchers are actively exploring innovative methods for integrating symbolic and neural representations to construct effective knowledge graphs, which are vital for commonsense reasoning within AI. 7.2 Advances in Learning and Inference Emerging techniques in this domain are improving AI’s capabilities in planning, zero-shot recognition, and overall generalization, making AI systems more adept in handling unforeseen queries. 7.3 Improved Logic and Reasoning Models Efforts are underway to bolster logical consistency in AI outputs through the development of more sophisticated models, such as logic tensor networks, that prioritize both reasoning fidelity and operational safety.

8. Future Directions and Challenges in Neuro-Symbolic AI

While neuro-symbolic AI signifies a considerable leap forward, various challenges remain to be addressed to secure its potential for AGI. 8.1 Incremental Learning Challenges A major challenge lies in designing symbolic systems that can grow and adapt based on new insights and experiences, particularly how to efficiently evolve with user interactions. 8.2 Context-Aware Inference Mechanisms Developing systems that adjust their reasoning processes based on situational context is essential for the practical deployment of neuro-symbolic AI, which could lead to more nuanced interactions. 8.3 Ensuring Explainability As AI becomes more integrated into everyday life, achieving detailed explainability for complex reasoning chains remains crucial for fostering trust and user acceptance.

9. Conclusion

In summary, neuro-symbolic AI stands as a transformative approach in the pursuit of Artificial General Intelligence, merging the robustness of neural networks with the precision of symbolic reasoning. Its impact extends across various fields, holding the promise to reshape the AI landscape for the better. For more insightful articles on similar topics, feel free to explore my blog at FROZENLEAVES NEWS. This enhanced article improves readability and helps highlight the crucial aspects of neuro-symbolic AI without cluttering the text. Read the full article

[curryvillain]

Jamaican Illustrator @Graytness Shares Augmented Reality "The Future Of Jamaica" Piece

To say Jamaica is a talented Country is an understatement. The Island boasts some of the most creative minds, with skillsets that have rivaled many the world over, and influenced generations. From Music, to Fashion, to Food, to Art, it’s never normal when it comes to Jamaicans. When it comes to Art, Jamaica has produced some very special individuals. From Cecil Baugh, to Edna Manley, to Albert…

[hvezdnastreka]

A date with Cardassia

[typewriter-worries]

It's world poetry day so here are some (more) of my favorite poems:

What You Missed That Day You Were Absent from Fourth Grade by Brad Aaron Modlin

All Trains Are Going Local by Timothy Liu

Rural Boys Watch the Apocalypse by Keaton St. James (@boykeats)

HOPE YOU’RE WELL. PLEASE DON’T READ THIS. by Lev St. Valentine (@dogrotpdf)

Time of Love by Claribel Alegría

Every Job Has a First Day by Rebecca Gayle Howell

ALL THAT WANTING, RIGHT? by Devin Kelly

Reading by A.R. Ammons

things i want to ask you by Helga Floros

Night Bird by Danusha Laméris

Prayer for Werewolves by Stephanie Burt

The Two Times I Loved You the Most In a Car by Dorothea Grossman

The Yearner by Rachel Long

If I Had Three Lives by Sarah Russell

I Dream on a Crowded Subway Train with My Eyes Open But My Body Swaying by Chen Chen

We Have Not Long to Love by Tennessee Williams

Jesus at the Gay Bar by Jay Hulme

Cracks by Dieu Dinh

and here's part one <3

[realcleverscience]

AI, Automation, Jobs, and the Every-Skill Worker

Been thinking a lot about AI in light of recent successes like stable diffusion and chatgpt, and how it seems we’re undoubtedly approaching the technological singularity, where science and technology is growing exponentially fast.

I am extremely concerned about the short-term implications and potential for mass layoffs. If we get AIs that can suddenly do, say, 85% of a job, it makes it easier for companies to lay off 85% of the people doing those jobs.

So what will people do?

I think one of the few things working in human’s favor right now is the difference between AI and Robotics. While both are improving at extraordinary rates (esp with AI helping robotics), AIs are a lot cheaper than robotics because it’s just code. You can duplicate code endlessly for almost zero cost. In contrast, robots are machines, which not only require code, but also lots of physical resources and face physical risks.

In short, even though we don’t yet have robots that are very good at picking up diverse objects, we’ll definitely get to that point soon. However, people are just as good as robots at many of these tasks. So considering the costs of robots, esp general purpose robots, not to mention lag in true AI to problem solve... I could see a scenario where humans and AI work together, instead of just robots and AI.

In particular, I could see AI and augmented reality creating a new class of “every skill worker”. For example, let’s talk about changing a tire. I’ve personally only done it once, years ago. I had no idea what I was doing. My dad helped guide me through the process, standing at the side, giving instructions. And voila, a car idiot like me was able to change a tire. Most of us could *physically* do LOTS of “skilled” jobs if we were just following step by step directions from a mentor right next to us. The problem is how to get those directions. These days, a lot of people go to places like youtube to watch lessons on how to do skilled jobs, like, say, fixing a broken washing machine or reprogramming a buggy piece of tech. The drawback, of course, is that it’s not catered to each person and their particular needs. It also doesn’t provide feedback like, “hey, make sure to screw that extra tight” or “I noticed you forgot to do xyz”. But imagine an AI that works with AR to be your guide. For instance, many people have been writing about how it feels like they’re working with a partner when they code with chatgpt. Imagine something like that but a program that can see and recognize what you’re doing. It can give step by step directions, see what step you’re on, see if you missed something, and provide visual guides for each step on the ar display.

This could mean that any half-intelligent person could be dropped into any number of complex skilled jobs and be able to just get started. Imagine a temp agency where one day you’re dropped into a washing machine factory or fixing a car, or installing advanced technology on day 1.

I know we haven’t heard much about AR in a while (this post feels like me getting excited about Google Glass 10 years too late... or too early?), but I think it could still prove a useful tool once its ready for prime time. Additionally, I want to note that robots will still be used in many and increasing roles, but I think there may be some where just hiring a person is just as economical, especially if AI and a depression cause some economic changes. E.g. There could be changes which lower wages without lowering quality of life, and which could make humans more economical. For instance, if we instituted a UBI, lower wages wouldn’t really matter. If we automated a lot of expensive services (esp education and medicine), this could lower cost of living and bring down wages. And of course, wages can be lower *with* a lower quality of life, such as mass layoffs and a depression due to AI.

Sooo... while I certainly have my preference for how I’d like to see things evolve, my main point here is that there *could* be a role for a humans, and that AI and VR could give everyone “super skills”. And hey, outside the dread of staying alive in an advanced-AI capitalist system - it’d be pretty cool to be able to do just about anything.

[mellxncollie]

PAINLAND WEEK - DAY TWO - MYTHS/LEGENDS → Sophus Helle, Gilgamesh — tablet XII, lines 87-95

[apocryphics]

a.r. ammons

[feedingicetothedog]

so like a really long time ago i saw this video of anne rice talking about vampire creativity and she basically said that vampires can't make anything artistically valid, that that type of creativity is reserved for human beings and this ep really made me think about that bc these vampires really want to make things but then they get frustrated when what they make isn't good and they can't find what they're looking for in their work but what's missing is the humanity. louis can see things that human beings can't bc of his vampiric abilities but that doesn't automatically give him a leg up irt making art, his work is more documentation than capturing singular moments. and he's frustrated that he can't connect w his subjects and it furthers his feelings of alienation from humanity bc why can't he just do it? why can't he convey the things he's trying to w his photos? and then he covets human work bc the spark required to make it is unavailable to him

[yourfavebooklrsfavebooklr]

8 amazing trans books for trans day of visibility!

[fronzennews]

Artificial General Intelligence Revolutionizing Healthcare Innovation Today

The integration of Artificial General Intelligence (AGI) in healthcare marks a significant shift in how medical services can be delivered and improved. Unlike traditional AI, which is typically designed for specific tasks, AGI holds the potential to perform any intellectual task that a human can, making it a valuable asset in healthcare innovation. As AGI continues to develop, its potential in enhancing patient outcomes, streamlining processes, and reshaping healthcare delivery is becoming increasingly evident.

2. Personalized Medicine and Treatment Plans

2.1 The Role of AGI in Personalizing Treatment AGI is paving the way for a new era of personalized medicine by enabling the customization of treatment plans based on an individual's genetic profiles and lifestyle choices. By analyzing vast datasets, AGI can recommend tailored therapies that align with each patient's unique biology, improving the chances of effective treatment outcomes. 2.2 Impact on Chronic Disease Management Recent clinical trials have showcased the effectiveness of AGI in managing chronic diseases such as diabetes and heart disease. Reports indicate that the integration of AGI into treatment strategies has led to an improvement in patient outcomes by as much as 45%, illustrating the potential of AGI in significantly enhancing chronic disease management.

3. Automation and Workflow Optimization

3.1 Streamlining Administrative Tasks with AGI One of the most substantial benefits of AGI is its ability to automate numerous administrative and clinical tasks. By deploying AI tools for patient outreach and smart scheduling, healthcare providers can optimize workflows without overburdening staff, allowing them to allocate their time to patient care instead of administrative burdens. 3.2 Reducing Clinician Documentation Burden With the integration of EHR-embedded ambient AI functionalities, clinicians can dramatically reduce their documentation workloads. By assisting in drafting in-basket responses and summarizing patient charts, these AI tools help clinicians maintain a focus on patient interaction rather than paperwork.  

image  

4. Addressing Social Determinants of Health (SDoH)

4.1 Identifying SDoH with Advanced AI Models AGI plays a vital role in identifying social determinants of health through the powerful analysis of patient visit notes. By pinpointing these critical social factors, healthcare providers can ensure comprehensive care that goes beyond traditional medical treatment. 4.2 The Importance of SDoH in Chronic Conditions Understanding the implications of SDoH, particularly in areas like cancer treatment, can significantly influence patient outcomes. AGI's capability to analyze and incorporate these determinants into treatment plans underscores its importance in modern healthcare.

5. Advancements in Precision Medicine and Diagnostics

5.1 Enhancing Diagnostic Accuracy with AGI AGI tools are revolutionizing diagnostic capabilities, particularly in the detection of life-threatening conditions like heart disease. Companies such as Eko Health are utilizing AI-powered cardiac monitoring systems to enhance accuracy and potentially reduce undiagnosed heart conditions by up to 30%. 5.2 Democratizing Access to Medical Imaging Innovations by firms like Butterfly Network are leveraging AGI to democratize medical imaging. Their AI-powered portable ultrasound device enhances imaging accuracy and accessibility to ensure that more clinicians and patients benefit from high-quality imaging capabilities.

6. Transforming Public Health and Disease Prevention

6.1 Disease Surveillance and Predictive Analytics AGI is set to elevate public health practices through advanced disease surveillance techniques and predictive analytics. By effectively detecting infectious diseases at earlier stages, AGI contributes to better public health initiatives and outcomes. 6.2 Equity Considerations in Public Health Technologies Incorporating equity into the development and deployment of AI tools is essential for improving population health management. AGI can enhance health equity by ensuring that underserved communities receive equal access to cutting-edge public health strategies.

7. Addressing Healthcare Workforce Challenges with AGI

7.1 Solving Staffing Shortages The ongoing healthcare staffing crisis can find relief through AGI-powered agents, which are capable of conducting low-risk, non-diagnostic patient-facing services. This innovative approach helps alleviate staffing shortages while maintaining quality patient care. 7.2 Enhancing Healthcare Equity through Technological Solutions AGI can bridge access gaps in healthcare services, promoting equity for underserved populations. By enhancing service delivery in these communities, AGI fulfills a crucial role in ensuring that healthcare advancements benefit everyone.

8. Innovations in Digital Twins and Predictive Analytics

8.1 Real-Time Patient Data Analysis The concept of digital twins, empowered by AGI, allows for real-time analysis of patient data alongside existing medical knowledge. This innovative approach enables the simulation of various treatment scenarios to ensure patients receive optimal care. 8.2 Preventive Interventions through Machine Learning Machine learning algorithms facilitate the early detection of health risks, enabling proactive interventions that can avert severe health complications. AGI leverages this predictive capability to improve patient management strategies significantly.

9. AGI in Drug Discovery and Manufacturing

9.1 Accelerating Drug Development Processes The drug discovery process is being transformed by AGI, with companies such as Pfizer reporting reduced development cycle times and improved efficiency. These advancements allow for faster access to new medications for patients.

image 9.2 Personalized Communication for Patients and Clinicians AGI-driven personalized messaging strategies enhance communication between clinicians and patients. This improved engagement fosters better understanding and adherence to treatment plans, ultimately leading to better health outcomes.

10. Ensuring Safety, Security, and Data Privacy

10.1 Upholding Privacy Standards in AGI Implementations As AGI becomes increasingly integrated into healthcare systems, maintaining data privacy remains a priority. Various initiatives aim to ensure that patient information is adequately protected while leveraging the full potential of AGI. 10.2 The Role of Cybersecurity in Healthcare AI With the rise of AGI in healthcare, the need for robust cybersecurity measures is essential. Protecting sensitive patient data from potential breaches is critical for maintaining trust in healthcare systems.

11. The Future of Care Delivery with AGI

11.1 Technology-Dependent Care Teams As AGI advances, healthcare delivery models are evolving to incorporate technology-dependent care teams. This shift allows healthcare professionals to concentrate on patient care, while AGI manages administrative and routine clinical tasks. 11.2 The Rise of Virtual Health Assistants Looking ahead, virtual health assistants will play a pivotal role in managing patient interactions and supporting clinicians. With the capability to provide real-time medical advice, these assistants could potentially handle over 85% of customer interactions in healthcare by the year 2025.

12. Conclusion: The Transformational Impact of AGI in Healthcare

The integration of Artificial General Intelligence in healthcare is set to bring transformative changes across various sectors, from personalized medicine to enhanced public health interventions and drug discovery. Addressing challenges related to data privacy, health equity, and the ethical use of AGI will be crucial as the industry continues to evolve. The ongoing advancements signal a promising future for healthcare innovation fueled by AGI. For more news and insights related to healthcare innovation and technology, visit my blog at FROZENLEAVES NEWS. ``` Read the full article

[transbookoftheday]

Agender Books To Read For Agender Pride Day

Happy Agender Pride Day! Here are some books with agender characters you should read:

Book Titles:

The Heartbreak Bakery by A.R. Capetta

The Evolving Truth of Ever-Stronger Will by Maya MacGregor

In the Care of Magic by Robin Jo Margaret

Our Bloody Pearl by D.N. Bryn

When the Angels Left the Old Country by Sacha Lamb

Something Spectacular by Alexis Hall

The Thread That Binds by Cedar McCloud

Werecockroach by Polenth Blake

[transparentdreamruins]

"There is my heart, and then there is you, and I'm not sure there is a difference."

~ A.R. Asher

[dame-de-pique]

A.R. Kingsford & Son - The Winding River, n.d.

[humanoidhistory]

Illustration by A.R. Lowe from Science Fiction Monthly, November 1975.

[llovelymoonn]

favourite poems of december

a.r. ammons collected poems: 1951-1971: "dunes"

jennifer robertson shrill shirts will always balloon

n. scott momaday in the presence of the sun: stories and poems, 1961-1991: "the delight song of tsoai-talee"

ted berrigan the collected poems of ted berrigan: "bean spasms"

natalie diaz when my brother was an aztec: "abecedarian requiring further examination of anglikan seraphym subjugation of a wild indian rezervation"

greg miller watch: "river"

joanna klink excerpts from a secret prophecy: "terrebonne bay"

dorothy dudley pine river bay

brenda shaughnessy our andromeda: "our andromeda"

frank lima incidents of travel in poetry: "orfeo"

lehua m. taitano one kind of hunger

no'u revilla kino

linda hogan when the body

paul verlaine one hundred and one poems by paul verlaine: a biligual edition: "moonlight" (tr. norman r. shapiro)

mahmoud darwish the butterfly's burden: "the cypress broke" (tr. fady joudah)

mahmoud darwish the butterfly's burden: "your night is of lilac"

amir rabiyah prayers for my 17th chromosome: "our dangerous sweetness"

sara nicholson the living method: "the end of television"

charles shields proposal for a exhibition

ginger murchison a scrap of linen, a bone: "river"

tsering wangmo dhompa virtual

anne carson the beauty of the husband: "v. here is my propaganda one one one one oneing on your forehead like droplets of luminous sin"

muriel rukeyser the collected poems of muriel rukeyser: "the book of the dead"

anne stevenson stone milk: "the enigma"

david tomas martinez love song

robert fitzgerald charles river nocturne

thomas mcgrath the movie at the end of the world: collected poems: "many in the darkness"

linda rodriguez heart's migration: "the amazon river dolphin"

donald revell the glens of cithaeron

sumita chakraborty dear, beloved

angela jackson and all these roads be luminous: "miz rosa rides the bus"

kofi